| 2026 | AAAI | Learning from Scoring Disagreements: Contrastive Error Mining for Efficient and Robust LLM-based Assessment. | Lei Chen, Tengteng Cheng, Boyu Gao, Zitao Liu, Weiqi Luo |
| 2026 | AAAI | A Compress-Expand Framework for Automatic Lesson Plan Generation. | Shuyan Huang, Ying Zheng, Xiaoli Zeng, Zitao Liu |
| 2026 | ACL | DiffCL: Difference-Aware Contrastive Learning for Automatic Answer Grading with Multi-Level Semantic Modeling. | Lei Chen, Boyu Gao, Zitao Liu, Tingjie Wan, Weiqi Luo |
| 2026 | AIED | Beyond Next-Response Prediction: Evaluating Knowledge State Transition Consistency in Deep Learning Based Knowledge Tracing Models. | Youheng Bai, Shen Han, Gangyi Tan, Jiahao Chen, Zitao Liu, Weiqi Luo |
| 2026 | AIED | MusicTutor: Facilitating Goal-Oriented Singing Practice via Multi-agent Tutoring Framework. | Tengteng Cheng, Xueyi Li, Teng Guo, Mingliang Hou, Zitao Liu, Weiqi Luo |
| 2026 | AIED | Benchmarking Scientific Formula Vocalization in Large Speech Language Models Toward Accessible Learning. | Xueyi Li, Tianqiao Liu, Jiaqi Zheng, Zitao Liu, Yongdong Wu, Weiqi Luo |
| 2026 | AIED | The Cost of Thinking: Increased Jailbreak Risk in Large Language Models in Education. | Fan Yang, Ke Wang, Wenzhou Dou, Yifan Shuai, Zitao Liu, Weiqi Luo |
| 2026 | WWW | A Frequency-Aware Mixture of Heterogeneous Experts Framework for Knowledge Tracing. | Youheng Bai, Mingliang Hou, Teng Guo, Zitao Liu, Weiqi Luo |
| 2026 | WWW | COMA: A Collaborative Multi-Role Agent Framework for Automated Lesson Plan Generation. | Xiaoli Zeng, Ying Zheng, Shuyan Huang, Zitao Liu, Mi Tian, Mingliang Hou, Jiaqi Zheng, Wenzhou Dou |
| 2026 | SIGIR | Improving Interpretability of Cognitive Diagnosis Models with LLM-based Semantic Augmentation. | Youheng Bai, Jiaqi Zheng, Mingliang Hou, Teng Guo, Mi Tian, Xiangyu Zhao, Zitao Liu, Weiqi Luo |
| 2025 | AAAI | Rethinking and Improving Student Learning and Forgetting Processes for Attention based Knowledge Tracing Models. | Youheng Bai, Xueyi Li, Zitao Liu, Yaying Huang, Mi Tian, Weiqi Luo |
| 2025 | AAAI | Cognitive Fluctuations Enhanced Attention Network for Knowledge Tracing. | Mingliang Hou, Xueyi Li, Teng Guo, Zitao Liu, Mi Tian, Renqiang Luo, Weiqi Luo |
| 2025 | AAAI | SIGMA: Selective Gated Mamba for Sequential Recommendation. | Ziwei Liu, Qidong Liu, Yejing Wang, Wanyu Wang, Pengyue Jia, Maolin Wang, Zitao Liu, Yi Chang, Xiangyu Zhao |
| 2025 | AAAI | What Are Step-Level Reward Models Rewarding? Counterintuitive Findings from MCTS-Boosted Mathematical Reasoning. | Yiran Ma, Zui Chen, Tianqiao Liu, Mi Tian, Zhuo Liu, Zitao Liu, Weiqi Luo |
| 2025 | AIED | LFPKT: Enhancing Learning and Forgetting Processes in Attention Based Knowledge Tracing Models. | Youheng Bai, Zitao Liu |
| 2025 | AIED | HCGKT: Hierarchical Contrastive Graph Knowledge Tracing with Multi-level Feature Learning. | Zhiwei Huang, Zitao Liu |
| 2025 | AIED | Towards Secure AI in Education: A Case Study on Automatic Short Answer Grading. | Xueyi Li, Zitao Liu |
| 2025 | EMNLP | StatsChartMWP: A Dataset for Evaluating Multimodal Mathematical Reasoning Abilities on Math Word Problems with Statistical Charts. | Dan Zhu, Tianqiao Liu, Zitao Liu |
| 2025 | HCI | Design of a Low-Cost Knee Joint Gap Measurement Instrument Based on TRIZ Theory. | Yichen Gao, Zitao Liu, Silu Zheng |
| 2025 | HCI | Developing A Dynamic Role Relationship Model (DRRM) for Social Innovation Stakeholder Analysis. | Zitao Liu, Shuo Li, Xiaolan Wang |
| 2025 | HCI | Transforming Depression to Healing: Design Strategy for Community Mental Health. | Zitao Liu, Li Pan |
| 2025 | ICCV | GUIOdyssey: A Comprehensive Dataset for Cross-App GUI Navigation on Mobile Devices. | Quanfeng Lu, Wenqi Shao, Zitao Liu, Lingxiao Du, Fanqing Meng, Boxuan Li, Botong Chen, Siyuan Huang, Kaipeng Zhang, Ping Luo |
| 2025 | ICLR | Advancing Mathematical Reasoning in Language Models: The Impact of Problem-Solving Data, Data Synthesis Methods, and Training Stages. | Zui Chen, Tianqiao Liu, Tongqing, Mi Tian, Weiqi Luo, Zitao Liu |
| 2025 | IJCAI | Denoised Attention and Question-Augmented Representations for Knowledge Tracing. | Jiwei Deng, Youheng Bai, Mingliang Hou, Teng Guo, Zitao Liu, Weiqi Luo |
| 2025 | KDD | GLINT-RU: Gated Lightweight Intelligent Recurrent Units for Sequential Recommender Systems. | Sheng Zhang, Maolin Wang, Wanyu Wang, Jingtong Gao, Xiangyu Zhao, Yu Yang, Xuetao Wei, Zitao Liu, Tong Xu |
| 2025 | WWW | Enhancing Knowledge Tracing through Decoupling Cognitive Pattern from Error-Prone Data. | Teng Guo, Yu Qin, Yubin Xia, Mingliang Hou, Zitao Liu, Feng Xia, Weiqi Luo |
| 2025 | WWW | WasmGuard: Enhancing Web Security through Robust Raw-Binary Detection of WebAssembly Malware. | Yuxia Sun, Huihong Chen, Zhixiao Fu, Wenjian Lv, Zitao Liu, Haolin Liu |
| 2025 | WWW | Behavior Modeling Space Reconstruction for E-Commerce Search. | Yejing Wang, Chi Zhang, Xiangyu Zhao, Qidong Liu, Maolin Wang, Xuetao Wei, Zitao Liu, Xing Shi, Xudong Yang, Ling Zhong, Wei Lin |
| 2025 | SIGIR | STAR-Rec: Making Peace with Length Variance and Pattern Diversity in Sequential Recommendation. | Maolin Wang, Sheng Zhang, Ruocheng Guo, Wanyu Wang, Xuetao Wei, Zitao Liu, Hongzhi Yin, Yi Chang, Xiangyu Zhao |
| 2024 | AIED | Knowledge Tracing as Language Processing: A Large-Scale Autoregressive Paradigm. | Bojun Zhan, Teng Guo, Xueyi Li, Mingliang Hou, Qianru Liang, Boyu Gao, Weiqi Luo, Zitao Liu |
| 2024 | AIED | Automatic Lesson Plan Generation via Large Language Models with Self-critique Prompting. | Ying Zheng, Xueyi Li, Yaying Huang, Qianru Liang, Teng Guo, Mingliang Hou, Boyu Gao, Mi Tian, Zitao Liu, Weiqi Luo |
| 2024 | CHI | WieldingCanvas: Interactive Sketch Canvases for Freehand Drawing in VR. | Xiaohui Tan, Zhenxuan He, Can Liu, Mingming Fan, Tianren Luo, Zitao Liu, Mi Tian, Teng Han, Feng Tian |
| 2024 | CIKM | Multi-turn Classroom Dialogue Dataset: Assessing Student Performance from One-on-one Conversations. | Jiahao Chen, Zitao Liu, Mingliang Hou, Xiangyu Zhao, Weiqi Luo |
| 2024 | CIKM | Efficient and Robust Regularized Federated Recommendation. | Langming Liu, Wanyu Wang, Xiangyu Zhao, Zijian Zhang, Chunxu Zhang, Shanru Lin, Yiqi Wang, Lixin Zou, Zitao Liu, Xuetao Wei, Hongzhi Yin, Qing Li |
| 2024 | ECAI | Extending Context Window of Attention Based Knowledge Tracing Models via Length Extrapolation. | Xueyi Li, Youheng Bai, Teng Guo, Ying Zheng, Mingliang Hou, Bojun Zhan, Yaying Huang, Zitao Liu, Boyu Gao, Weiqi Luo |
| 2024 | HCI | Research on an Educational Toy for Preschool Children's Oral Care Based on Persuasive Design. | Xiaoying Tang, Silu Zheng, Yibing Chen, Zitao Liu |
| 2024 | HCI | Enhancing Product Design Efficiency Through Artificial Intelligence-Generated Content: A Case Study of a Home Office Desk. | Xiaoying Tang, Silu Zheng, Zitao Liu |
| 2024 | IJCAI | Enhancing Length Generalization for Attention Based Knowledge Tracing Models with Linear Biases. | Xueyi Li, Youheng Bai, Teng Guo, Zitao Liu, Yaying Huang, Xiangyu Zhao, Feng Xia, Weiqi Luo, Jian Weng |
| 2024 | KDD | AI for Education (AI4EDU): Advancing Personalized Education with LLM and Adaptive Learning. | Qingsong Wen, Jing Liang, Carles Sierra, Rose Luckin, Richard Jiarui Tong, Zitao Liu, Peng Cui, Jiliang Tang |
| 2023 | AAAI | Improving Interpretability of Deep Sequential Knowledge Tracing Models with Question-centric Cognitive Representations. | Jiahao Chen, Zitao Liu, Shuyan Huang, Qiongqiong Liu, Weiqi Luo |
| 2023 | AIED | Empowering Education with LLMs - The Next-Gen Interface and Content Generation. | Steven Moore, Richard Jiarui Tong, Anjali Singh, Zitao Liu, Xiangen Hu, Yu Lu, Joleen Liang, Chen Cao, Hassan Khosravi, Paul Denny, Christopher Brooks, John C. Stamper |
| 2023 | AIED | A Student-Teacher Multimodal Interaction Analysis System for Classroom Observation. | Jinglei Yu, Zhihan Li, Zitao Liu, Mi Tian, Yu Lu |
| 2023 | CIKM | Assessing Student Performance with Multi-granularity Attention from Online Classroom Dialogue. | Jiahao Chen, Zitao Liu, Shuyan Huang, Yaying Huang, Xiangyu Zhao, Boyu Gao, Weiqi Luo |
| 2023 | CIKM | Rethinking Sensors Modeling: Hierarchical Information Enhanced Traffic Forecasting. | Qian Ma, Zijian Zhang, Xiangyu Zhao, Haoliang Li, Hongwei Zhao, Yiqi Wang, Zitao Liu, Wanyu Wang |
| 2023 | CIKM | MLPST: MLP is All You Need for Spatio-Temporal Prediction. | Zijian Zhang, Ze Huang, Zhiwei Hu, Xiangyu Zhao, Wanyu Wang, Zitao Liu, Junbo Zhang, S. Joe Qin, Hongwei Zhao |
| 2023 | CIKM | PromptST: Prompt-Enhanced Spatio-Temporal Multi-Attribute Prediction. | Zijian Zhang, Xiangyu Zhao, Qidong Liu, Chunxu Zhang, Qian Ma, Wanyu Wang, Hongwei Zhao, Yiqi Wang, Zitao Liu |
| 2023 | DASFAA | A Topic-Aware Data Generation Framework for Math Word Problems. | Tianyu Zhao, Chengliang Chai, Jiabin Liu, Guoliang Li, Jianhua Feng, Zitao Liu |
| 2023 | EDM | A Multimodal Language Learning System for Chinese Character Using Foundation Model. | Jinglei Yu, Zitao Liu, Mi Tian, Deliang Wang, Yu Lu |
| 2023 | ICLR | simpleKT: A Simple But Tough-to-Beat Baseline for Knowledge Tracing. | Zitao Liu, Qiongqiong Liu, Jiahao Chen, Shuyan Huang, Weiqi Luo |
| 2023 | ICML | Probabilistic Categorical Adversarial Attack and Adversarial Training. | Han Xu, Pengfei He, Jie Ren, Yuxuan Wan, Zitao Liu, Hui Liu, Jiliang Tang |
| 2023 | ITS | SC-Ques: A Sentence Completion Question Dataset for English as a Second Language Learners. | Qiongqiong Liu, Yaying Huang, Zitao Liu, Shuyan Huang, Jiahao Chen, Xiangyu Zhao, Guimin Lin, Yuyu Zhou, Weiqi Luo |
| 2023 | KDD | How does the Memorization of Neural Networks Impact Adversarial Robust Models? | Han Xu, Xiaorui Liu, Wentao Wang, Zitao Liu, Anil K. Jain, Jiliang Tang |
| 2023 | WWW | Enhancing Deep Knowledge Tracing with Auxiliary Tasks. | Zitao Liu, Qiongqiong Liu, Jiahao Chen, Shuyan Huang, Boyu Gao, Weiqi Luo, Jian Weng |
| 2023 | WWW | Fairly Adaptive Negative Sampling for Recommendations. | Xiao Chen, Wenqi Fan, Jingfan Chen, Haochen Liu, Zitao Liu, Zhaoxiang Zhang, Qing Li |
| 2023 | WWW | MMMLP: Multi-modal Multilayer Perceptron for Sequential Recommendations. | Jiahao Liang, Xiangyu Zhao, Muyang Li, Zijian Zhang, Wanyu Wang, Haochen Liu, Zitao Liu |
| 2023 | SIGIR | AutoDPQ: Automated Differentiable Product Quantization for Embedding Compression. | Xin Gan, Yuhao Wang, Xiangyu Zhao, Wanyu Wang, Yiqi Wang, Zitao Liu |
| 2023 | SIGIR | Towards Robust Knowledge Tracing Models via k-Sparse Attention. | Shuyan Huang, Zitao Liu, Xiangyu Zhao, Weiqi Luo, Jian Weng |
| 2023 | SIGIR | LinRec: Linear Attention Mechanism for Long-term Sequential Recommender Systems. | Langming Liu, Liu Cai, Chi Zhang, Xiangyu Zhao, Jingtong Gao, Wanyu Wang, Yifu Lv, Wenqi Fan, Yiqi Wang, Ming He, Zitao Liu, Qing Li |
| 2023 | VR | Secure Authentication with 3D Manipulation in Dynamic Layout for Virtual Reality. | Zongyong Bu, Haojun Zheng, Weiqiang Xin, Yi Zhang, Zitao Liu, Weiqi Luo, Boyu Gao |
| 2023 | WSDM | Recent Advances on Deep Learning based Knowledge Tracing. | Zitao Liu, Jiahao Chen, Weiqi Luo |
| 2022 | AIED | Wide & Deep Learning for Judging Student Performance in Online One-on-One Math Classes. | Jiahao Chen, Zitao Liu, Weiqi Luo |
| 2022 | AIED | A Design of a Simple Yet Effective Exercise Recommendation System in K-12 Online Learning. | Shuyan Huang, Qiongqiong Liu, Jiahao Chen, Xiangen Hu, Zitao Liu, Weiqi Luo |
| 2022 | CIKM | DialogID: A Dialogic Instruction Dataset for Improving Teaching Effectiveness in Online Environments. | Jiahao Chen, Shuyan Huang, Zitao Liu, Weiqi Luo |
| 2022 | WSDM | A Practical Guide to Robust Multimodal Machine Learning and Its Application in Education. | Zitao Liu |
| 2022 | SDM | Learning from Imbalanced Crowdsourced Labeled Data. | Wentao Wang, Joseph Thekinen, Xiaorui Liu, Zitao Liu, Jiliang Tang |
| 2021 | ACL | Long Text Generation by Modeling Sentence-Level and Discourse-Level Coherence. | Jian Guan, Xiaoxi Mao, Changjie Fan, Zitao Liu, Wenbiao Ding, Minlie Huang |
| 2021 | ACL | OpenMEVA: A Benchmark for Evaluating Open-ended Story Generation Metrics. | Jian Guan, Zhexin Zhang, Zhuoer Feng, Zitao Liu, Wenbiao Ding, Xiaoxi Mao, Changjie Fan, Minlie Huang |
| 2021 | ACL | The Authors Matter: Understanding and Mitigating Implicit Bias in Deep Text Classification. | Haochen Liu, Wei Jin, Hamid Karimi, Zitao Liu, Jiliang Tang |
| 2021 | AIED | An Educational System for Personalized Teacher Recommendation in K-12 Online Classrooms. | Jiahao Chen, Hang Li, Wenbiao Ding, Zitao Liu |
| 2021 | AIED | Multi-task Learning Based Online Dialogic Instruction Detection with Pre-trained Language Models. | Yang Hao, Hang Li, Wenbiao Ding, Zhongqin Wu, Jiliang Tang, Rose Luckin, Zitao Liu |
| 2021 | AIED | A Multimodal Machine Learning Framework for Teacher Vocal Delivery Evaluation. | Hang Li, Yu Kang, Yang Hao, Wenbiao Ding, Zhongqin Wu, Zitao Liu |
| 2021 | AIED | Solving ESL Sentence Completion Questions via Pre-trained Neural Language Models. | Qiongqiong Liu, Tianqiao Liu, Jiafu Zhao, Qiang Fang, Wenbiao Ding, Zhongqin Wu, Feng Xia, Jiliang Tang, Zitao Liu |
| 2021 | AIED | Automatic Task Requirements Writing Evaluation via Machine Reading Comprehension. | Shiting Xu, Guowei Xu, Peilei Jia, Wenbiao Ding, Zhongqin Wu, Zitao Liu |
| 2021 | CVPR | COMPLETER: Incomplete Multi-View Clustering via Contrastive Prediction. | Yijie Lin, Yuanbiao Gou, Zitao Liu, Boyun Li, Jiancheng Lv, Xi Peng |
| 2021 | CVPR | Partially View-Aligned Representation Learning With Noise-Robust Contrastive Loss. | Mouxing Yang, Yunfan Li, Zhenyu Huang, Zitao Liu, Peng Hu, Xi Peng |
| 2021 | EMNLP | CTAL: Pre-training Cross-modal Transformer for Audio-and-Language Representations. | Hang Li, Wenbiao Ding, Yu Kang, Tianqiao Liu, Zhongqin Wu, Zitao Liu |
| 2021 | EMNLP | Mathematical Word Problem Generation from Commonsense Knowledge Graph and Equations. | Tianqiao Liu, Qiang Fang, Wenbiao Ding, Hang Li, Zhongqin Wu, Zitao Liu |
| 2021 | ICDE | CrowdRL: An End-to-End Reinforcement Learning Framework for Data Labelling. | Kaiyu Li, Guoliang Li, Yong Wang, Yan Huang, Zitao Liu, Zhongqin Wu |
| 2021 | Interspeech | Learning Fine-Grained Cross Modality Excitement for Speech Emotion Recognition. | Hang Li, Wenbiao Ding, Zhongqin Wu, Zitao Liu |
| 2021 | WSDM | Node Similarity Preserving Graph Convolutional Networks. | Wei Jin, Tyler Derr, Yiqi Wang, Yao Ma, Zitao Liu, Jiliang Tang |
| 2020 | AAAI | Graduate Employment Prediction with Bias. | Teng Guo, Feng Xia, Shihao Zhen, Xiaomei Bai, Dongyu Zhang, Zitao Liu, Jiliang Tang |
| 2020 | AAAI | Learning Multi-Level Dependencies for Robust Word Recognition. | Zhiwei Wang, Hui Liu, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu |
| 2020 | AIED | Neural Multi-task Learning for Teacher Question Detection in Online Classrooms. | Gale Yan Huang, Jiahao Chen, Haochen Liu, Weiping Fu, Wenbiao Ding, Jiliang Tang, Songfan Yang, Guoliang Li, Zitao Liu |
| 2020 | AIED | Siamese Neural Networks for Class Activity Detection. | Hang Li, Zhiwei Wang, Jiliang Tang, Wenbiao Ding, Zitao Liu |
| 2020 | AIED | Automatic Dialogic Instruction Detection for K-12 Online One-on-One Classes. | Shiting Xu, Wenbiao Ding, Zitao Liu |
| 2020 | BMVC | Synchronous Bidirectional Learning for Multilingual Lip Reading. | Mingshuang Luo, Shuang Yang, Xilin Chen, Zitao Liu, Shiguang Shan |
| 2020 | COLING | Does Gender Matter? Towards Fairness in Dialogue Systems. | Haochen Liu, Jamell Dacon, Wenqi Fan, Hui Liu, Zitao Liu, Jiliang Tang |
| 2020 | COLING | Personalized Multimodal Feedback Generation in Education. | Haochen Liu, Zitao Liu, Zhongqin Wu, Jiliang Tang |
| 2020 | DSAA | Sequence Learning with Side Dependencies. | Zhiwei Wang, Hui Liu, Gale Yan Huang, Zitao Liu |
| 2020 | EDM | Identifying At-Risk K-12 Students in Multimodal Online Environments: A Machine Learning Approach. | Hang Li, Wenbiao Ding, Songfan Yang, Zitao Liu |
| 2020 | EMNLP | Mitigating Gender Bias for Neural Dialogue Generation with Adversarial Learning. | Haochen Liu, Wentao Wang, Yiqi Wang, Hui Liu, Zitao Liu, Jiliang Tang |
| 2020 | HealthCom | A Knowledge-Based Decision Support System for In Vitro Fertilization Treatment. | Xizhe Wang, Ning Zhang, Jia Wang, Jing Ni, Xinzi Sun, John Zhang, Zitao Liu, Yu Cao, Benyuan Liu |
| 2020 | ICASSP | Multimodal Learning for Classroom Activity Detection. | Hang Li, Yu Kang, Wenbiao Ding, Song Yang, Songfan Yang, Gale Yan Huang, Zitao Liu |
| 2020 | ICASSP | Upgrading CRFS to JRFS and its Benefits to Sequence Modeling and Labeling. | Yunfu Song, Zhijian Ou, Zitao Liu, Songfan Yang |
| 2020 | ICDM | Learning from Incomplete Labeled Data via Adversarial Data Generation. | Wentao Wang, Tyler Derr, Yao Ma, Suhang Wang, Hui Liu, Zitao Liu, Jiliang Tang |
| 2020 | IJCNLP | Learning Goal-oriented Dialogue Policy with opposite Agent Awareness. | Zheng Zhang, Lizi Liao, Xiaoyan Zhu, Tat-Seng Chua, Zitao Liu, Yan Huang, Minlie Huang |
| 2020 | KDD | Recent Advances in Multimodal Educational Data Mining in K-12 Education. | Zitao Liu, Songfan Yang, Jiliang Tang, Neil T. Heffernan, Rose Luckin |
| 2020 | WWW | Dolphin: A Spoken Language Proficiency Assessment System for Elementary Education. | Zitao Liu, Guowei Xu, Tianqiao Liu, Weiping Fu, Yubi Qi, Wenbiao Ding, Yujia Song, Chaoyou Guo, Cong Kong, Songfan Yang, Gale Yan Huang |
| 2020 | SDM | Global-and-Local Aware Data Generation for the Class Imbalance Problem. | Wentao Wang, Suhang Wang, Wenqi Fan, Zitao Liu, Jiliang Tang |
| 2019 | AIED | A Multimodal Alerting System for Online Class Quality Assurance. | Jiahao Chen, Hang Li, Wenxin Wang, Wenbiao Ding, Gale Yan Huang, Zitao Liu |
| 2019 | AIED | Automatic Short Answer Grading via Multiway Attention Networks. | Tianqiao Liu, Wenbiao Ding, Zhiwei Wang, Jiliang Tang, Gale Yan Huang, Zitao Liu |
| 2019 | AIED | Deep Knowledge Tracing with Side Information. | Zhiwei Wang, Xiaoqin Feng, Jiliang Tang, Gale Yan Huang, Zitao Liu |
| 2019 | ICDE | Learning Effective Embeddings From Crowdsourced Labels: An Educational Case Study. | Guowei Xu, Wenbiao Ding, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu |
| 2019 | WWW | Recommender Systems with Heterogeneous Side Information. | Tianqiao Liu, Zhiwei Wang, Jiliang Tang, Songfan Yang, Gale Yan Huang, Zitao Liu |
| 2018 | SIGIR | A Flexible Forecasting Framework for Hierarchical Time Series with Seasonal Patterns: A Case Study of Web Traffic. | Zitao Liu, Yan Yan, Milos Hauskrecht |
| 2017 | CIKM | A Personalized Predictive Framework for Multivariate Clinical Time Series via Adaptive Model Selection. | Zitao Liu, Milos Hauskrecht |
| 2016 | AAAI | Learning Adaptive Forecasting Models from Irregularly Sampled Multivariate Clinical Data. | Zitao Liu, Milos Hauskrecht |
| 2016 | NAACL | Automatic Summarization of Student Course Feedback. | Wencan Luo, Fei Liu, Zitao Liu, Diane J. Litman |
| 2016 | SDM | Learning Linear Dynamical Systems from Multivariate Time Series: A Matrix Factorization Based Framework. | Zitao Liu, Milos Hauskrecht |
| 2015 | AAAI | A Regularized Linear Dynamical System Framework for Multivariate Time Series Analysis. | Zitao Liu, Milos Hauskrecht |
| 2015 | ICDM | Missing Value Estimation for Hierarchical Time Series: A Study of Hierarchical Web Traffic. | Zitao Liu, Yan Yan, Jian Yang, Milos Hauskrecht |
| 2014 | SDM | An Optimization-based Framework to Learn Conditional Random Fields for Multi-label Classification. | Mahdi Pakdaman Naeini, Iyad Batal, Zitao Liu, Charmgil Hong, Milos Hauskrecht |
| 2013 | AIME | Clinical Time Series Prediction with a Hierarchical Dynamical System. | Zitao Liu, Milos Hauskrecht |
| 2013 | SDM | Modeling Clinical Time Series Using Gaussian Process Sequences. | Milos Hauskrecht, Zitao Liu, Lei Wu |